The Effect of Detection and Restoration Times forError Recovery in Communication Networks
作者： Dimitris Logothetis , Kishor Trivedi
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摘要: Detection and restoration times are often ignored when modeling network reliability. In this paper, we develop Markov Regenerative Reward Models (MRRM) to capture the effects of detection phases recovery. States MRRM represent conditions resources, while state transitions occurrences failure, repair, detection, restoration. rates, assigned states computed based on a performance model that accounts for contention. We compare our with ones ignore these parameters show significant differences, in particular transient measures.
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